It worked. Gave Claude $20. Left it coding overnight.... Woke up to: • finished script • +$95 from first 5 trades Didn’t touch anything. Then I found this wallet: 0xb27b...b82 • $384,858 profit • 13,070 predictions • $18.5K biggest win • Started March 2026 Almost no one watching it. While building my script, I copytraded it to test the math. Started with $80. → $4,218 in a few weeks Every position is identical in structure. Not trading. One equation. Running while you sleep. Examples: $17,839 → $36,318 (+103%) $3,112 → $15,011 (+382%) $10,676 → $22,178 (+107%) Here’s the exact framework I gave Claude: 1. Temporal bias Find BTC time windows with >65% directional edge. Ignore everything else. 2. Kelly sizing Size based on confidence. Never fixed bets. f∗=p⋅b−qbf^* = \frac{p \cdot b - q}{b}f∗=bp⋅b−q​ 3. Volatility filter Skip trades when volatility is too high. Only clean conditions. 4. Bayesian updates Update probabilities after every trade. The system learns. Claude built everything while I slept. Funded it with $20. First trade fired minutes later. Copytrade my finds → You’re seeing this early. That window doesn’t stay open.show more

It worked... Gave Claude $20. Gave it 4 prompts... and left it coding overnight. Woke up to: 1) finished script 2) +$102 from first 6 trades Didn't touch anything. Then I found this wallet: ohanism / 0x890...beb $167,439.86 profit 44,462 predictions $2,369 biggest win Started Feb 2026 What made me stop cold: Not just BTC. BTC. ETH. XRP. SOL. Same 15-minute window logic. Four assets simultaneously. Examples: $373 → $2,636 (+605%) ETH $122 → $1,116 (+809%) SOL $1,583 → $3,953 (+149%) BTC One equation. Four assets. Running while you sleep. Framework I gave Claude: 1. Multi-asset window mapping Find 15-min windows across BTC, ETH, XRP and SOL with >68% directional bias. Score each asset independently. 2. Cross-asset Kelly sizing f* = (p × b − q) / bSize each asset by its own confidence score. Never treat them equally. 3. Correlation filter If BTC and ETH signals fire simultaneously — reduce ETH size by 50%. Correlated losses kill accounts. 4. Bayesian updates Each settled trade recalibrates that asset's window score. Four assets learning in parallel. Claude built everything in 35 minutes. Funded with $20. Fired in 4 minutes. This is the wallet I copied: 0x89b5cdaaa4866c1e738406712012a630b4078beb Copy trade him here: While you read this it placed 3 more trades. Follow. The edge doesn't wait.show more

This content probably won't last long I had Claude... scan GitHub continuously for 24 hours, specifically hunting for those bots that actually deliver on-chain results on Polymarket In the end, I only found one wallet $143,379 in profit 43,788 trades No audience No noise I reverse-engineered it overnight Threw in $90 first Slept a night, woke up to +130% Then I tested it again This time just used $20 for copy trading Didn't touch a thing Woke up the next day, it had turned into $127 That's when I realized—this wasn't luck Every single trade of it was executing by the rules: Only trades in specific time windows Positions controlled with Kelly criterion Losses don't mean failure—they're part of the model upgrade Over 43K trades, almost no deviations GitHub shows just 14 stars But it's already pulled $143K out of the market While most people are still serving as exit liquidity for others, this thing is steadily harvesting them. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)show more

"MY Son is a Hacker" that's exactly what my... mom said it was a Polymarket bot making $600/day while she stood behind me polymarket pricing is basically one equation: softmax, the same math Claude uses to pick the next word: C(q) = b · ln Σ e^(qi/b) most traders don't even know it exists... they see 35¢ and think cheap my bot sees 35¢ and computes fair value at 55¢, an 20¢ edge two more formulas handle the rest: Kelly for sizing, Bayes for updating I gave Claude the equations and told it: "Find every mispriced contract" $502 → $12,089 on 348 trades, still running 72.6% win rate. wrong plenty, but position sizing makes wins outweigh losses the formulas are on Wikipedia the code fits in one file drop a follow. I'll teach u how to build this bot the only edge: reading the math at 2AM when the market's asleep mom still calls me a hacker she stopped asking about a real job xDshow more

MY MOM wanted to know why I wasn't sleeping... at 3am, but was stuck in Python files I'm not gambling. I'm doing the pricing Every Polymarket number is basically one line of math: P(i) = exp(qᵢ / b) / Σ exp(qⱼ / b) Yep, softmax. Same mechanism GPT uses to pick the next token. Polymarket uses it to set every contract price Most people see 40¢ and think "bargain" I see 40¢ and ask: what's the liquidity parameter? b = 50 → one whale can shove the market 20% b = 100,000 → you can throw orders at it and it yawns More alpha here: Early on, I kept trading thin pools. One chunky order would vaporize my entry. I wasn't getting outpredicted, I was getting out-modeled by a formula I hadn’t even bothered to learn So I learned it. Then I wrapped code around it EV = true_prob × (1 - market_price) - (1 - true_prob) × market_price The bot pulls b, computes EV, sizes bets with Kelly: f* = (p × b - q) / b ...and fires before my coffee cools down $250.28 to start. Three weeks later: $12,950.79 No heroic calls Just the same math 95.99% of traders never look up, running on autopilot Full breakdown: EV, LMSR, Kelly sizing, plus 5 cognitive traps that quietly bleed accountsshow more

The best Polymarket Quant bot for copy-trading with a... 99.3% win rate. backtested strategy on 72M Polymarket/Kalshi trades to hit +$805K PnL on 27,000 predictions. bot doesn't gamble - it uses math and statistics in its algo to consistently hit 99% win rate. his algo decoded: 1. Mispricing formula based on 72M trades data, traders constantly overpay for cheap contracts (0.1¢–50¢) most of the edge sits in (80¢-99¢) contracts - that's the range where the bot mostly trades • formula: δ = actual win rate - implied probability bot applies this to every trade to find the edge. // 2. Expected value calculation EV tells you whether a bet is worth taking, regardless of the outcome of any single trade. • formula: EV = (P win × Payout) - (P lose × Cost) bot calculates it to understand if the trade is worth the risk. // 3. Kelly Criterion sizing most powerful position sizing formula ever discovered for gambling, trading and prediction markets it tells the algo what % of your portfolio to size into each bet to win long term. • formula: f* = (p * b - q) / b mispricing found → EV calced → kelly sizing → enter profile: start copy trading the bot with as little as $10 using Ares: 2 more formulas behind its algo revealed in the article below ↓show more

My Claude bot finished first night profit $2,314 I... built the script in 4 hours and it was worth it Average winrate 70% This is not clickbait it is a story about a 5 minute BTC script My strategy + Claude = all you need Wallet: Copytrade: Here is the full strategy: 5 Minute BTC and ETH Micro Arbitrage The system trades short 5 minute Bitcoin and Ethereum contracts In fast markets temporary mispricings appear when YES + NO drops below one dollar The bot scans in real time and captures the spread the moment it appears Speed over emotion When volatility spikes and manual traders hesitate the system reacts automatically Orders execute instantly without delay hesitation or emotional bias By the time most traders understand what happened the opportunity window is already gone Automation compounds the edge Instead of chasing large wins the strategy captures small spreads repeatedly High frequency execution allows the bot to run continuously stacking micro advantages into meaningful returns over time All that is left is refining the code deploying at scale and letting it runshow more

$25K+ profit daily from 1 wallet, with OpenClaw. I... have the exact step-by-step guide, giving it free for 24 hours. To get it: 1. Comment "OpenClaw" 2. Like and Retweet. 3. Follow me Himanshu Kumar ( So, i can send you DM) I ran a simple script last night with Claude Code. Pull on-chain data from Polymarket, sort by win rate on 15 minute BTC markets. 20 minutes later, 100s of wallets showed up. Most were losing money or barely breaking even. Then I spotted 1 address. 200+ trades daily, every single week profitable, timing so precise it looked robotic. Because it is. I fed the wallet address back into Claude Code. Asked it to reverse engineer the strategy. 20 mins later the full breakdown appeared on my screen. Here is how it works: Bot monitors Binance and Bybit every 100ms. Waiting for BTC volatility compression to drop below 0.08%. When it hits that level, it buys both Up and Down contracts at 25 to 35 cents each. Classic straddle play. 1 contract loses, the other rockets to a dollar. Entry at 30 cents means 3x to 4x return every time. Repeats dozens of times per day. Result: $13K to $25K profit daily from 1 wallet. No human intuition, no insider tips. Just an algorithm exploiting a gap in market mechanics. I searched to see if anyone else found this wallet. Turns out yes. There is a Telegram bot that auto-copies trades from wallets like this. I connected it to the same address. Every entry matched what my terminal showed. You can now copy-trade an algorithm in real time. That capability did not exist 12 months ago. Comment "OpenClaw" and I will send you everything. Must Follow me Himanshu Kumar to get the DM.show more

An Anthropic engineer watched me trade from across the... table at a WeWork in SF I had my laptop open. Four agents running. Green charts. Live trades scrolling. He was on a Zoom call. Muted himself. Walked over. "Are you running Claude against live prediction markets right now" I told him. Claude Code. Two repos. $25 a month. He pulled up a chair. "I helped build the model you're using. I've never seen anyone wire it to live trades like this" I showed him the dataset. 86 million trades. Every wallet. Every entry. Every exit. He stared at it. "We tested this internally. You give Claude a dataset and don't tell it what to look for. It finds the winning wallets. Then it finds WHY they win. Then it copies the pattern. We never shipped it because legal killed it" I told him I did exactly that. One weekend. Claude Code found the exit logic on its own. Top wallets exit before resolution 91% of the time. They capture 86% of expected value. Cut losers at 12%. Everyone else captures 58% and holds to 41%. "That's the exact finding from our internal eval. Except ours took a team of eight and four months" I showed him the scanner. Three commands. 500+ markets. No API key. Claude scores them all in 20 minutes. "You're using our model to beat markets we're not allowed to touch. On infra that costs less than my lunch" My setup: Claude API - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 214 trades. 74% win rate. +$9,400. 19 days. I showed him the full breakdown. Every repo. Every command. Every dollar. Copytrade here: He read it for five minutes. Then looked up. "If my manager sees this he's going to lose his mind. You just proved our model works in production and we've been sitting on it for a year" He DM'd me that night. "Take this down before someone at Anthropic finds it" Too late.show more

An Anthropic engineer caught my screen at a café... in SF. “Are you seriously running Claude against live markets?” Yes. I walked him through it. 214 trades 74% WR +$9,437 / 19 days Copy it: Stack is simple: – historical market + wallet dataset – CLI for fast market access – execution layer with strict filters No predictions. First repo: The model ranks wallets by exit efficiency. Metric that matters: captured_value / expected_value > 0.70 If a wallet can’t realize its edge — it’s noise. Signals only trigger on repeated structure. Second repo: Position sizing = Kelly. f* = (p*b - q) / b Most cycles: idle. When conditions align: deploy capital. Three trades: +7c, +22c, +16c — all closed within hours He looked at the repos, paused: “We had internal experiments like this.” There’s no secret. Just discipline. Markets don’t pay for being right. They pay for exiting well.show more

Last night I asked Claude Code to build me... a simple script: pull on-chain data from Polymarket and sort wallets by win rate Nothing ambitious. Just wanted to see who is actually making money on 15-minute BTC markets The terminal finished in about 20 minutes. Hundreds of addresses, columns of numbers, nothing interesting And then 1 wallet caught my eye 200+ trades per day, consistent profit every week, almost surgical timing precision. I reread the line 3 times. A real person does not trade like this I fed the address back into Claude Code and asked it to break down the pattern. Half an hour later I had a full strategy reconstruction on my screen The bot (and it is definitely a bot) pings Binance and Bybit every 100ms monitoring volatility compression on BTC. When it drops below 0.08% it enters Up and Down contracts simultaneously at 25 to 35 cents each. A pure straddle. 1 side burns, the other flies to a dollar. At a 30-cent entry that is 3 to 4x per position And so it goes in circles. Dozens of times a day I sat there staring at it for about 10 minutes $13K to $25K in daily profit from a single wallet. Not a trader with intuition, not an insider with information. An algorithm that found a hole in market mechanics and methodically milks it You can check the trade history yourself: After that I went looking for whether anyone else is tracking this wallet. Turns out yes. Found a Telegram bot that tracks wallets like this and copies their trades automatically I connected it to the same address just to see if the entries would match what my terminal was showing. Matched perfectly Still testing on minimum amounts for now: But the fact that you can stand next to an algorithm like this in real time is something that simply did not exist a year agoshow more

This trader gave Claude $44 and one question. Not... “what should I build.” Not “how do bots work.” He asked: what’s the easiest way to consistently extract money from short-term mispricing. No lecture. No disclaimer. No theory. It said: find small windows where the market is off by a few percent. Quietly. Repeatedly. At scale. Then it dropped a wallet. stargate5 $165,618 profit 16,279 trades Joined November 2025 He almost skipped it. Then he opened the activity. No predictions. No narratives. Just micro trades on 5–15 minute windows. Over and over and over. Tiny edges. Constant flow. The entire strategy: scan for mispricing above ~6% enter instantly redeem at $1 repeat. He asked Claude how this keeps working. It said: you don’t need big wins. You need a small edge executed thousands of times at near-even conditions. Volume handles the rest. He asked: what kind of capital this started with. Claude: based on sizing — probably under $1,000. Compounding did the rest. He went through the trades manually. Same pattern every time: short window mispriced odds fast execution instant settlement No randomness. No luck. The same edge, repeated 16,279 times until it turned into $165K. He asked Claude one last thing. What do you call this strategy? It said: capturing the gap between panic pricing and actual probability on repeat. At scale, that gap becomes income. Still running. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Trade' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)show more

"WTF Are You Doing? You're not a meteorologist!" I... shifted my laptop toward her: $450 → $12,420 Polymarket prices look like a pure softmax, the same engine Claude uses to weigh its next token So I fed the model two equations and a watchlist of 80 live contracts: f* = (p · b − q) / b P(H|E) = P(E|H) · P(H) / P(E) It doesn't read the news. It measures the differential The weather station says 92% rain. The market is pricing 78% That 14-cent edge? It takes it No vibes. No narrative. Just arithmetic It pings every hour. 72 out of 80 times, the answer is: PASS But when the gap clears 7%, it sizes via Kelly, executes the trade, and goes back to sleep One contract sat at 0.28 for three days while the fair price was 0.46 The bot waited anyway. Resolved YES Win Rate: 69.9%. It's wrong a full third of the time and still prints, because Kelly scales the winners harder than the losers Most wallets bleed out chasing feelings. A formula can't panic! (One script. Freshman-level math. 812 trades so far) My friend still insists I'm being weird about the weather The bot cleared $59.47 while he was saying it Drop a like. I'll show you how to build your own bot here:show more

AUTOMATE POLYMARKET BOT WITH CLAUDE! Now, since Claude can... control your computer, things are changing fast, so I decided to try a few strategies I said, Claude: "Research for the best options to profit through Polymarket using my PC" He said that simple trading is basically gambling, you can also build a bot that arbitrages, trades, etc., but it takes ~months Then he said, "Copytrading." So I asked him to fetch wallets that I can copytrade and how I can copytrade them, what is the strategy Couple of hours and I had a running monitoring bot that fetched wallets and filtered them by: - PnL - Markets they are trading - Trades a day - Position size - Portfolio size - Strategy of trading Based on that, I asked him to consider options of copytrading, fixed amount, % of portfolio, or same risk management, what slippage He gave me 2 wallets that traded 5-15 min markets and said: "These wallets will be profitable for copytrading using: 5% slippage, one of them with a fixed amount, another with RM 1x ratio copytrading" Since these wallets didn't have a large portfolio, it really worked and it started copytrading using this TG bot Bot: It's ~1 hour since copytrading started and so far I have not made much profit, but testing looks great and Claude decided to test only for 20 trades/per day, firstly Make sure to follow me and turn notifs on, will share with you the rest of the journey here and continue finding new strategiesshow more

This trader gave Claude $44 and one question. Not... “what should I build.” Not “how do bots work.” He asked: what’s the easiest way to consistently extract money from short-term mispricing. No lecture. No disclaimer. No theory. It said: find small windows where the market is off by a few percent. Quietly. Repeatedly. At scale. Then it dropped a wallet. stargate5 $165,618 profit 16,279 trades Joined November 2025 He almost skipped it. Then he opened the activity. No predictions. No narratives. Just micro trades on 5–15 minute windows. Over and over and over. Tiny edges. Constant flow. The entire strategy: scan for mispricing above ~6% enter instantly redeem at $1 repeat. He asked Claude how this keeps working. It said: you don’t need big wins. You need a small edge executed thousands of times at near-even conditions. Volume handles the rest. He asked: what kind of capital this started with. Claude: based on sizing — probably under $1,000. Compounding did the rest. He went through the trades manually. Same pattern every time: short window mispriced odds fast execution instant settlement No randomness. No luck. The same edge, repeated 16,279 times until it turned into $165K. He asked Claude one last thing. What do you call this strategy? It said: capturing the gap between panic pricing and actual probability on repeat. At scale, that gap becomes income. Still running. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: Just: 1. Comment the word ‘CLAUDE’ 2. Like and Retweet this post 3. Follow me Marry Evan (so that I can message you)show more

This trader gave Claude $44 and one question. Not... “what should I build.” Not “how do bots work.” He asked: what’s the easiest way to consistently extract money from short-term mispricing. No lecture. No disclaimer. No theory. It said: find small windows where the market is off by a few percent. Quietly. Repeatedly. At scale. Then it dropped a wallet. stargate5 $165,618 profit 16,279 trades Joined November 2025 He almost skipped it. Then he opened the activity. No predictions. No narratives. Just micro trades on 5–15 minute windows. Over and over and over. Tiny edges. Constant flow. The entire strategy: scan for mispricing above ~6% enter instantly redeem at $1 repeat. He asked Claude how this keeps working. It said: you don’t need big wins. You need a small edge executed thousands of times at near-even conditions. Volume handles the rest. He asked: what kind of capital this started with. Claude: based on sizing — probably under $1,000. Compounding did the rest. He went through the trades manually. Same pattern every time: short window mispriced odds fast execution instant settlement No randomness. No luck. The same edge, repeated 16,279 times until it turned into $165K. He asked Claude one last thing. What do you call this strategy? It said: capturing the gap between panic pricing and actual probability on repeat. At scale, that gap becomes income. Still running. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: Just: 1. Comment the word ‘CLAUDE’ 2. Like and Retweet this post 3. Follow me ZAYVEN KNOX (so that I can message you)show more

An Anthropic engineer watched my screen from the next... table at a cafe in SF. "Are you running Claude against live prediction markets right now" I told him yes. Then I showed him the stack. 214 trades. 74% win rate. +$9,437 in 19 days. Here's what actually happened: I gave Claude two repos and a simple job. Three commands. 500+ markets. No API key. Just a clean way to score the board fast. The system does not try to predict the world. It tries to find which wallets consistently exit better than the crowd, isolate the pattern, and only fire when the same structure shows up again. Main filter: captured value / expected value > 0.70 If a wallet wins often but leaks the move on exit, it gets ignored. If it captures most of the move and cuts losers fast, it becomes signal. Sizing uses Kelly: f* = (p*b - q) / b That is what stops the terminal from apeing into weak edges. Most of the time it does nothing. No edge - no position. Three trades from the run: > AMD Xilinx - entered 52c. Model said 59c. Closed +7c in 2h40m. > Artemis launch - entered 63c. Model said 85c. Closed +22c in 5h10m. > Derecho MW - entered 71c. Model said 87c. Closed +16c in 1h50m. When he saw the repo links and the live terminal, he stopped talking for a second. Then he said: "We tested something close to this internally." That was the whole joke. The data is public. The repos are public. The market is public. But most Polymarket traders still trade headlines, hold too long, and call it conviction. Polymarket does not reward the smartest story. It rewards the cleaner exit. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'CLAUDE' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)show more

An Anthropic engineer paid for my espresso at Sightglass... when he saw my screen I was running my Polymarket bot from the counter. He was next in line. Looked over my shoulder. Stopped scrolling. "That's not a normal trading app. What's it actually running on" I told him. Claude Code. Four repos. $25 a month. He sat down without asking. "I'm on the agent team. We stress test Claude for exactly this. You're letting it find its own edges" Not just edges. Wallets. 86 million trades. Every wallet. Every entry. Every exit. "You're feeding Claude raw wallet data and letting it identify who consistently wins. Then cloning them" He said it slowly. Like he was writing the threat model in his head. One prompt. Find every wallet with 100 plus trades and win rate above 70%. Rank by profit. Export top 50. Claude scanned 14,000 wallets in 4 minutes. Returned 47. The top 20 made more than the bottom 13,000 combined. "That's not a stat. That's a hit list" Exactly. "And you didn't write the scoring function" Claude did. I just wired it into an if-statement. Then I showed him the second repo. Official Rust CLI. No API key for reads. 500 markets, Claude scores them in minutes. Gap. Depth. Resolution window. 487 markets become 35 before a dollar moves. 93% killed before I even see them. A green fill landed on the screen. +$84. Copytrade wallet: He watched it hit. "How does it decide to actually enter" Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 agree, full size. 1 alone, half. Disagree, no trade. Consensus filter alone killed 40% of losing trades. "And the exits?" The 47 whales never hold to settlement. 91% exit early. 73% of max profit captured. Redeploy immediately. My bot cuts at 85% of expected move or on a 3x volume spike. "You built a whale copy bot that exits before the whales" Yeah. He put his espresso down. "How often does it trade" 10 a day on average. Most of them skipped before I look up from my coffee. My setup: Claude API - $20/mo VPS in Germany - $5/mo poly_data - free polymarket-cli - free Polymarket/agents - free $200 seed. 27 days ago. $14,300 now. Copytrade here: 271 trades. 74% win rate. Sharpe 2.47. I haven't touched it in 27 days. He stared at the screen for a long time. "This is literally what our red team simulates. Except you actually shipped it" He emailed me the next morning. "Any chance you'd take a call with our policy lead" I told him the article is the call. Read it twice. Too late to gatekeep.show more

An Anthropic engineer watched my screen from the next... table at a cafe in SF. "Are you running Claude against live prediction markets right now" I told him yes. Then I showed him the stack. 214 trades. 74% win rate. +$9,437 in 19 days. Here's what actually happened: I gave Claude two repos and a simple job. First repo: A full market archive. Wallet behavior, entries, exits, and timing across the board. Second repo: Three commands. 500+ markets. No API key. Just a clean way to score the board fast. The system does not try to predict the world. It tries to find which wallets consistently exit better than the crowd, isolate the pattern, and only fire when the same structure shows up again. Main filter: captured value / expected value > 0.70 If a wallet wins often but leaks the move on exit, it gets ignored. If it captures most of the move and cuts losers fast, it becomes signal. Sizing uses Kelly: f* = (p*b - q) / b That is what stops the terminal from apeing into weak edges. Most of the time it does nothing. No edge - no position. Three trades from the run: > AMD Xilinx - entered 52c. Model said 59c. Closed +7c in 2h40m. > Artemis launch - entered 63c. Model said 85c. Closed +22c in 5h10m. > Derecho MW - entered 71c. Model said 87c. Closed +16c in 1h50m. When he saw the repo links and the live terminal, he stopped talking for a second. Then he said: "We tested something close to this internally." That was the whole joke. The data is public. The repos are public. The market is public. But most Polymarket traders still trade headlines, hold too long, and call it conviction. Polymarket does not reward the smartest story. It rewards the cleaner exit.show more

I rebuilt my Polymarket weather bot Launched a simulation... with $1,000 An hour later, it was already $1,250. Another hour later - $680 The problem was simple: the forecast changed, but the bot didn't know about it and continued to hold its position That's exactly what I'm fixing in version v2 What I'm adding: 1. Expected Value EV = (p · b) − (1 − p) Before every entry the bot calculates expected value. Negative EV - no trade. But EV is useless if p comes from nowhere 2. Kelly Criterion f* = (p · b − q) / b Determines exactly how much to bet based on real edge Small edge → small position. Large edge → larger. Fixed sizing can't do this 3. Brier Score BS = (1/n) · Σ(fₜ − oₜ)² Measures how accurate our probabilities actually are. If the bot assigned 80% but the outcome won 40% of the time - Brier Score catches that 4. Calibration on own data After each trade the bot saves city, month, bucket, forecast at entry, final result History accumulates → bot calculates Brier Score on its own trades → if Chicago in March is consistently off - p for that city and month gets adjusted automatically 5. Adding new data sources Instead of relying on a single source, the bot will draw on several sources at once, and if the forecasts match, it will enter into a trade Every cycle of v2: - scan markets - check station forecast - apply calibration - calculate EV - apply Kelly - enter or skip - monitor every minute - close if forecast changes Btw, here's a short video clip showing the terminal in action A major update is coming soonshow more

An Anthropic paid for my espresso at Sightglass when... he saw my screen. I was backtesting a Claude-built arbitrage system. Terminal open. Live trades firing. He glanced over. Stopped walking. That is not TradingView. What framework is that actually running. Claude Code. Three repos. One prompt. $20 per month. He sat down across from me without asking. I work on AlphaGo successor models. We test reinforcement agents for market simulation. You are running something similar but you let Claude write the strategy layer. Not just strategy. Detection. github/warproxxx/poly_data 86 million Polymarket trades. Every wallet. Every position. Every timestamp. You are feeding Claude transaction history and letting it identify asymmetric behavior patterns. Then cloning the profitable ones in real time. Exactly. One prompt: Scan every wallet with 150+ trades and ROI above 65%. Rank by consistency. Export top 40. Claude processed 18,600 wallets in 6 minutes. Returned 38. Top 15 wallets outperformed the bottom 18,000 combined. That is not analysis. That is alpha concentration. Precisely. And you did not write the ranking algorithm. Claude built it. I just connected it to execution logic. Then I opened the second repo. github/Polymarket/polymarket-cli Official Rust CLI. No auth required for reads. 600+ markets scanned in under 3 minutes. Claude scores: liquidity depth, pricing gap, resolution timeline. 512 markets reduced to 28 before capital moves. 94.5% filtered out before entry consideration. A notification hit. Position filled. +$127. How does it decide entry timing. Four agents. No shared state. Arbitrage detector, convergence scanner, whale mirror, volume surge tracker. 3 agents agree: full position. 2 agree: half size. Split vote: skip. Consensus filtering alone eliminated 46% of losses in backtest. And exit logic. The 38 top wallets almost never hold to settlement. 89% exit early. Average 71% of max profit captured. Immediate redeployment. My bot exits at 82% of projected move or 4x volume spike. Whichever hits first. You built a whale copy system that exits before the whales do. Correct. He set his coffee down slowly. How many trades per day. 12 average. Most rejected by filters before I see notifications. My setup: Claude API: $20/mo VPS Frankfurt: $6/mo poly_data: free polymarket-cli: free $300 seed capital. 34 days ago. $18,700 now. 318 trades. 76% win rate. Sharpe 2.61. I have not modified it in 34 days. He stared at the terminal without blinking. This is exactly what our adversarial testing team models. Market-adaptive agents with autonomous strategy evolution. Except you deployed it live. He messaged me the next day. Would you consider a conversation with our safety research lead. I told him this post is the conversation. Too late to contain. The edge is not predicting markets. It is identifying who already wins and mirroring them before the pattern shifts. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word "Money" 2. Like and retweet this post. 3. Follow me Himanshu Kumar so I can DM you Save this post. Build the whale mirror system this week. Start with $200. Scale on evidence.show more